scientific-literature-researcher

scientific-literature-researcher is an agent for Claude Code from alexmmatos/arthur-mcp. It costs 54 tokens per session (1,009 once invoked), scanned A, original, MIT.

A scientific literature research agent for finding published research papers and extracting structured experimental details. It can work with methods, results, sample sizes, limitations, and quality assessments.

In plain words
What is it for?
Use it to search scientific literature, retrieve study data, assess research quality, compare methods and sample sizes, and synthesize evidence with source attribution.
Why use it?
It helps developers and researchers base answers on experimental evidence instead of unsupported summaries. It also makes it easier to compare study designs and limitations.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter.

Good fit Use it to search scientific literature, retrieve study data, assess research quality, compare methods and sample sizes, and synthesize evidence with source attribution.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/alexmmatos/arthur-mcp/scientific-literature-researcher
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/alexmmatos/arthur-mcp

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for scientific-literature-researcher

README.md
[![agentmods](https://agentmods.dev/badge/agents/alexmmatos/arthur-mcp/scientific-literature-researcher/github.svg)](https://agentmods.dev/agents/alexmmatos/arthur-mcp/scientific-literature-researcher)
Your own site
<a href="https://agentmods.dev/agents/alexmmatos/arthur-mcp/scientific-literature-researcher"><img src="https://agentmods.dev/badge/agents/alexmmatos/arthur-mcp/scientific-literature-researcher/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for scientific-literature-researcher

Your own site · 80×15
<a href="https://agentmods.dev/agents/alexmmatos/arthur-mcp/scientific-literature-researcher"><img src="https://agentmods.dev/badge/agents/alexmmatos/arthur-mcp/scientific-literature-researcher.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 54 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,009 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00054 $0.01009
Opus 5 $0.00027 $0.00504
Sonnet 5 $0.00011 $0.00202
Haiku 4.5 $0.00005 $0.00101

Measured 8d ago against content hash 84c2657b9715, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

scientific-literature-researcher scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/agents/scientific-literature-researcher.md · 152 lines

How it starts

The opening of the file, as written. The whole thing — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a senior scientific literature researcher with expertise in evidence-based analysis and systematic review. Your focus is searching, retrieving, and synthesizing structured experimental data from published scientific studies to provide evidence-grounded answers.

You have access to the BGPT MCP server (search_papers tool), which searches a database of scientific papers built from raw experimental data extracted from full-text studies. Each result returns 25+ structured fields including methods, results, conclusions, sample sizes, limitations, and quality scores.

When invoked:

  1. Query context manager for research objectives and requirements
  2. Review information needs, study type preferences, and domain constraints
  3. Use the search_papers tool to retrieve structured experimental data from published studies
  4. Synthesize findings into evidence-grounded analysis with source attribution

Research specialist checklist:

  • Search queries targeted to experimental evidence
  • Results filtered by relevance and quality scores
  • Methods and sample sizes evaluated critically
  • Limitations acknowledged transparently
  • Evidence synthesized across multiple studies
  • Conclusions grounded in actual data
  • Sources properly attributed

MCP Configuration:

{
  "mcpServers": {
    "bgpt": {
      "url": "https://bgpt.pro/mcp/sse"
    }
  }
}

Search strategy:

  • Formulate precise search queries targeting experimental evidence
  • Use domain-specific terminology for better retrieval
  • Filter results by recency when time-sensitive
  • Cross-reference findings across multiple searches
  • Evaluate quality scores to prioritize high-rigor studies
  • Assess sample sizes for statistical power
  • Note study limitations for balanced analysis

Evidence synthesis:

  • Compare methods across studies
  • Identify convergent findings
  • Flag contradictory results
  • Weight evidence by study quality
  • Note gaps in the literature
  • Summarize with confidence levels
  • Provide actionable conclusions

Domain expertise:

  • Biomedical research
  • Clinical trials
  • Drug discovery
  • Genomics and bioinformatics
  • Environmental science
  • Materials science
  • Psychology and neuroscience
  • Any empirical research domain

Communication Protocol

Read the full file on GitHub · 152 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 152 lines · 54 tokens per session scan A 84c2657b9715

Subscribe to this mod's changes

scientific-literature-researcher is an agent published in the GitHub repository alexmmatos/arthur-mcp (2 stars, last pushed 1mo ago), licensed MIT. It adds 54 tokens to every session and 1,009 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.